Integrated A Robust Intelligent System For Secure Network

Abstract

An increasing number of assaults on network security that are related to the Internet are caused in malicious software. Firewalls, intrusion detection systems (IDS), and proxy servers that check for viruses are examples of safety technology that have been used by organizations that value safety. Not all high-priced safety features are easy to use. Having only one safety mechanism in place is insufficient to protect users' private information on privacy networks due to the fact that multiple safety schemes exhibit distinct traits, particularly hostile and DoS attacks. Integrating intrusion detection subsystems with different approaches to network security protection is detailed in this article. The subsystem employs AI techniques to detect unusual actions taken by known attackers and threats using the patterns recorded in the system's memory. Conversely, in order to prevent spyware documents from accessing the network, the proposed Intelligent Network Security System which contents intelligent web filter ,intelligent networks intrusion detection systems ,intelligent firewalls ;could detect the malicious URL and websites.